File size: 3,357 Bytes
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dataset_info:
features:
- name: Disease
dtype: string
- name: Symptoms
dtype: string
- name: Treatments
dtype: string
splits:
- name: QuyenAnh
num_bytes: 107143
num_examples: 400
- name: ventis
num_bytes: 487119
num_examples: 6661
- name: celikmus
num_bytes: 1326158
num_examples: 1058
- name: duxTecblic
num_bytes: 1685071
num_examples: 5634
- name: dhivyeshrk
num_bytes: 28884286
num_examples: 246945
- name: IndianServers
num_bytes: 178759
num_examples: 796
- name: itachi9604
num_bytes: 629982
num_examples: 4920
- name: symptom2disease
num_bytes: 235583
num_examples: 1200
download_size: 4859083
dataset_size: 33534101
configs:
- config_name: default
data_files:
- split: QuyenAnh
path: data/QuyenAnh-*
- split: ventis
path: data/ventis-*
- split: celikmus
path: data/celikmus-*
- split: duxTecblic
path: data/duxTecblic-*
- split: dhivyeshrk
path: data/dhivyeshrk-*
- split: IndianServers
path: data/IndianServers-*
- split: itachi9604
path: data/itachi9604-*
- split: symptom2disease
path: data/symptom2disease-*
license: apache-2.0
task_categories:
- text-classification
language:
- en
tags:
- medical
- diseases
---
# 🩺 Diseases Dataset
A consolidated medical dataset combining disease names, symptoms, and treatments collected from multiple public datasets across Hugging Face and Kaggle. This dataset can be used for building disease prediction, symptom clustering, and medical assistant models.
---
## 📦 Dataset Summary
| Field | Type | Description |
|------------|--------|----------------------------------------------|
| Disease | string | Name of the disease or condition |
| Symptoms | string | List of symptoms or Description of symptomps |
| Treatments | string | (Optional) Treatment suggestions if present |
Most splits include disease and symptoms. Treatment data is available in a few sources (like `QuyenAnh`), and left blank where unavailable.
---
## 📊 Dataset Statistics
| Split Name | Source Dataset | Examples | Size |
|------------------|--------------------------------------------------|----------|-----------|
| `QuyenAnh` | `QuyenAnhDE/Diseases_Symptoms` | 400 | 107 KB |
| `ventis` | `venetis/symptom_text_to_disease_mk2` | 6,661 | 487 KB |
| `celikmus` | `dux-tecblic/symptom-disease-dataset` | 1,058 | 1.3 MB |
| `duxTecblic` | `dux-tecblic/symptom-disease-dataset` (mapped) | 5,634 | 1.7 MB |
| `dhivyeshrk` | `dhivyeshrk/Disease-Symptom-Extensive-Clean` | 246,945 | 28.9 MB |
| `IndianServers` | `IndianServers/diseasessymptoms` | 796 | 179 KB |
| `itachi9604` | `Disease-Symptom-Description-Dataset (Kaggle)` | 4,920 | 630 KB |
| `symptom2disease`| `Symptom2Disease (Kaggle)` | 1,200 | 236 KB |
---
## 🛠 Usage Example
```python
from datasets import load_dataset
dataset = load_dataset("kamruzzaman-asif/Diseases_Dataset", split="dhivyeshrk")
print(dataset[0])
# {
# 'Disease': 'Acne',
# 'Symptoms': 'skin rash, pimples, blackheads',
# 'Treatments': ''
# }
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